Results 21 to 30 of about 90 (86)

Change Detection of Water Resources via Remote Sensing: An L-V-NSCT Approach

open access: yesApplied Sciences, 2019
Aiming at the change detection of water resources via remote sensing, the non-subsampling contour transformation method combining a log-vari model and the Stractural Similarity of Variogram (VSSIM) model, namely log-vari and VSSIM based non-subsampled ...
Wang Xin, Tang Can, Wang Wei, Li Ji
doaj   +1 more source

[Retracted] Multiresolution‐Based Singular Value Decomposition Approach for Breast Cancer Image Classification

open access: yesBioMed Research International, Volume 2022, Issue 1, 2022., 2022
Breast cancer is the most prevalent form of cancer that can strike at any age; the higher the age, the greater the risk. The presence of malignant tissue has become more frequent in women. Although medical therapy has improved breast cancer diagnostic and treatment methods, still the death rate remains high due to failure of diagnosing breast cancer in
Suman Mann   +7 more
wiley   +1 more source

An Image Segmentation Method Based on the Law of Universal Gravitation and Adaptive Affinity Propagation Spectrum Clustering

open access: yesMathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
There are many problems of division in natural and social sciences, and with the development of science and technology, the requirement for division is also increasing. It is difficult to divide accurately by experience and expertise alone, and the most important research branch of the division problem is the clustering algorithm.
Hua Lu, Jianrong Zhu, Zaoli Yang
wiley   +1 more source

An NSCT Image Denoising Method Based on Genetic Algorithm to Optimize the Threshold

open access: yesMobile Information Systems, Volume 2022, Issue 1, 2022., 2022
In order to solve the defect that the threshold value of the NSCT transform method is too large or the real signal coefficients are directly lost during image denoising, an adaptive threshold method of genetic algorithm is used to optimize the NSCT image denoising method. The genetic algorithm is used to generate the initial population, and the genetic
Zeliang Zhang   +7 more
wiley   +1 more source

Image fusion method based on simultaneous sparse representation with non‐subsampled contourlet transform

open access: yesIET Computer Vision, 2019
The image fusion method based on sparse representation in the single‐scale image domain has produced better fusion results than the classic methods based on multi‐scale analysis nowadays.
Guiqing He   +4 more
doaj   +1 more source

Improved Image Fusion Method Based on NSCT and Accelerated NMF

open access: yesSensors, 2012
In order to improve algorithm efficiency and performance, a technique for image fusion based on the Non-subsampled Contourlet Transform (NSCT) domain and an Accelerated Non-negative Matrix Factorization (ANMF)-based algorithm is proposed in this paper ...
Mingdong Li, Siyu Lai, Juan Wang
doaj   +1 more source

A Pansharpening Based on the Non-Subsampled Contourlet Transform and Convolutional Autoencoder: Application to QuickBird Imagery

open access: yesIEEE Access, 2022
This paper presents a pansharpening technique based on the non-subsampled contourlet transform (NSCT) and convolutional autoencoder (CAE). NSCT is exceptionally proficient at presenting orientation information and capturing the internal geometry of ...
Ahmad Al Smadi   +4 more
doaj   +1 more source

Denoising Method for Passive Photon Counting Images Based on Block-Matching 3D Filter and Non-Subsampled Contourlet Transform

open access: yesSensors, 2019
Multi-pixel photon counting detectors can produce images in low-light environments based on passive photon counting technology. However, the resulting images suffer from problems such as low contrast, low brightness, and some unknown noise distribution ...
Xuan Wang   +5 more
doaj   +1 more source

Seismic Random Noise Attenuation Based on PCC Classification in Transform Domain

open access: yesIEEE Access, 2020
Random noise attenuation of seismic data is an essential step in the processing of seismic signals. However, as the exploration environment is becoming more and more complicated, the energy of valid signals is weaker and the signal to noise (SNR) is much
Yu Sang   +5 more
doaj   +1 more source

An Enhanced Approach to Despeckle SAR Images [PDF]

open access: yesRadioengineering, 2018
Synthetic Aperture Radar (SAR) image processing plays a vital role in observing the earth and in understanding its varied features. A SAR image contains edges and shapes hidden by speckle noise.
D. Anandhi, S. Valli
doaj  

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